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» Accelerating Large Data Analysis by Exploiting Regularities
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ICIP
2010
IEEE
14 years 7 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe
INFOCOM
2009
IEEE
15 years 4 months ago
On the Exploitation of CDF Based Wireless Scheduling
—Channel-aware scheduling strategies - such as the CDF Scheduler (CS) algorithm for the CDMA/HDR systems provide an effective mechanism for utilizing the channel data rate for im...
Udi Ben-Porat, Anat Bremler-Barr, Hanoch Levy

Publication
170views
14 years 9 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
PRL
2010
188views more  PRL 2010»
14 years 8 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
ASPDAC
2008
ACM
92views Hardware» more  ASPDAC 2008»
14 years 11 months ago
Design space exploration for a coarse grain accelerator
- In the design process of a reconfigurable accelerator employing in an embedded system, multitude parameters may result in remarkable complexity and a large design space. Design s...
Farhad Mehdipour, Hamid Noori, Morteza Saheb Zaman...